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Go.AI raises $85 million to expand private AI infrastructure

The funding round supports the expansion of secure, on-premises AI for regulated industries like healthcare and aerospace.

$85 millionSeries A funding amount

The short version

Why it matters

For businesses in highly regulated fields, using public AI models often poses too much risk regarding data privacy. This funding suggests a growing market for 'private' AI that allows companies to use advanced tools without ever sending sensitive information to a third party.

Securing regulated AI

Go.AI has secured $85 million in Series A funding to expand its private AI infrastructure. The investment round was led by Updata Partners with participation from GFT Ventures and LAUNCH. This brings the company's total funding to $90 million as of late 2026.

The company focuses on providing AI solutions for industries that have strict rules about how they handle data. These sectors include financial services, healthcare, aerospace, defense, and manufacturing. In these fields, the risk of a data breach or a regulatory violation can be devastating for a business.

By offering a platform that lives inside a customer's own secure environment, Go.AI addresses these specific fears. The goal is to make AI production-ready rather than experimental for institutions where risk is non-negotiable. This approach allows companies to maintain full control over their proprietary information.

How private infrastructure works

Unlike many popular AI tools that process information on external servers, Go.AI operates within existing systems and governance frameworks. This means that when a company uses the platform, their data does not travel to an external provider. The infrastructure is designed to be examiner-ready, meaning it meets the standards required for formal audits.

The technology stack includes both software and hardware offerings, specifically the company's Go.OS software. This setup allows for high levels of auditability and security. It ensures that organizations can deploy AI at scale while remaining compliant with local and industry-specific laws.

One of the key features of the platform is its fixed-fee pricing model. Many AI services charge based on the number of tokens processed, which can make costs unpredictable for large-scale operations. Go.AI aims to provide greater predictability for organizations trying to manage their deployment costs over the long term.

Growth and market reach

Go.AI is seeing significant momentum in its current market. The company reports that it currently serves more than 200 customers across various industries. Its annual recurring revenue has increased more than eightfold year over year, showing a rapid adoption of private AI systems.

The scale of the platform is already substantial, with customer deployments collectively processing more than 12.5 million queries daily. These queries represent the real-world work being done by organizations that have integrated the technology into their daily workflows. The company also reports that it has maintained continued profitability during this growth phase.

The new funding will be used to support additional engineering hires to build out the technology. It will also fund the development of the Go.OS software and hardware. Furthermore, the company intends to expand its reach beyond the most heavily regulated industries to any organization requiring strong data governance.

Education and expansion

A significant portion of the new capital will be directed toward training and client advisory services. Go.AI plans to launch a podcast series specifically focused on AI education. The company wants to help people understand how AI can work alongside them rather than being something to fear.

CEO David Moscatelli noted that the goal is to prove that AI can work alongside people when done correctly. He emphasized that the education aspect of the funding is just as important as the growth numbers. The company wants to demystify the technology for practical adoption in the workplace.

As the company expands, it will continue to focus on making AI accessible to organizations that need high security. By combining software, hardware, and education, Go.AI aims to become a primary partner for companies navigating the complexities of AI integration. The expansion will target any organization that needs to protect sensitive information while seeking the benefits of automation.

What to watch

Try it

Check if your organization has a 'data governance' policy for AI and see if it allows for third-party data processing.

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First reported by mykxlg.com · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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